| { | |
| "config_general": { | |
| "start_date": "2024-02-06T23-18-53.380050", | |
| "start_time": 1707261534.2931616, | |
| "end_time": 1707265016.3878448, | |
| "total_evaluation_time_seconds": 3482.0946831703186, | |
| "has_chat_template": false, | |
| "chat_type": null, | |
| "n_gpus": 1, | |
| "accelerate_num_process": null, | |
| "model_sha": "7512cb2c27e3b7f0b92c9271c2a845a1365048c8", | |
| "model_dtype": "bfloat16", | |
| "model_memory_footprint": 13543948288, | |
| "model_num_parameters": 6738415616, | |
| "model_is_loaded_in_4bit": false, | |
| "model_is_loaded_in_8bit": false, | |
| "model_is_quantized": null, | |
| "model_device": "cuda:1", | |
| "batch_size": 16, | |
| "max_length": 4096, | |
| "max_ctx_length": 4064, | |
| "max_gen_toks": 32, | |
| "model_name": "Unbabel/TowerBase-7B-v0.1", | |
| "job_id": 23, | |
| "model_id": "Unbabel/TowerBase-7B-v0.1_eval_request_False_bfloat16_Original", | |
| "model_base_model": "", | |
| "model_weight_type": "Original", | |
| "model_revision": "main", | |
| "model_private": false, | |
| "model_type": "🆎 : language adapted models (FP, FT, ...)", | |
| "model_architectures": "LlamaForCausalLM", | |
| "submitted_time": "2024-02-05T23:04:12Z", | |
| "lm_eval_model_type": "huggingface", | |
| "eval_version": "1.0.0" | |
| }, | |
| "results": { | |
| "all_grouped_average": 0.32893893389000856, | |
| "all_grouped_npm": 0.057678483940730205, | |
| "all_grouped": { | |
| "enem_challenge": 0.3610916724982505, | |
| "bluex": 0.3129346314325452, | |
| "oab_exams": 0.34943052391799545, | |
| "assin2_rte": 0.424025213670537, | |
| "assin2_sts": 0.09020044429155334, | |
| "faquad_nli": 0.45217350015431734, | |
| "sparrow_pt": 0.3127165512648607 | |
| }, | |
| "all": { | |
| "harness|enem_challenge|enem_challenge|None|3": 0.3610916724982505, | |
| "harness|bluex|bluex|None|3": 0.3129346314325452, | |
| "harness|oab_exams|oab_exams|None|3": 0.34943052391799545, | |
| "harness|assin2_rte|assin2_rte|None|15": 0.424025213670537, | |
| "harness|assin2_sts|assin2_sts|None|15": 0.09020044429155334, | |
| "harness|faquad_nli|faquad_nli|None|15": 0.45217350015431734, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": 0.09057755761365816, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": 0.3932038834951456, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": 0.3780835276162379, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": 0.38900123633440115 | |
| }, | |
| "harness|enem_challenge|enem_challenge|None|3": { | |
| "acc,all": 0.3610916724982505, | |
| "acc,exam_id__2016_2": 0.37398373983739835, | |
| "acc,exam_id__2016": 0.35537190082644626, | |
| "acc,exam_id__2010": 0.3504273504273504, | |
| "acc,exam_id__2014": 0.3211009174311927, | |
| "acc,exam_id__2023": 0.4074074074074074, | |
| "acc,exam_id__2017": 0.3706896551724138, | |
| "acc,exam_id__2015": 0.3025210084033613, | |
| "acc,exam_id__2012": 0.3879310344827586, | |
| "acc,exam_id__2022": 0.3609022556390977, | |
| "acc,exam_id__2013": 0.2962962962962963, | |
| "acc,exam_id__2009": 0.391304347826087, | |
| "acc,exam_id__2011": 0.4017094017094017, | |
| "main_score": 0.3610916724982505 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "acc,all": 0.3129346314325452, | |
| "acc,exam_id__USP_2019": 0.3, | |
| "acc,exam_id__UNICAMP_2018": 0.35185185185185186, | |
| "acc,exam_id__UNICAMP_2020": 0.34545454545454546, | |
| "acc,exam_id__UNICAMP_2023": 0.4883720930232558, | |
| "acc,exam_id__UNICAMP_2024": 0.37777777777777777, | |
| "acc,exam_id__UNICAMP_2019": 0.32, | |
| "acc,exam_id__UNICAMP_2021_2": 0.3137254901960784, | |
| "acc,exam_id__USP_2022": 0.2857142857142857, | |
| "acc,exam_id__USP_2020": 0.32142857142857145, | |
| "acc,exam_id__USP_2018": 0.24074074074074073, | |
| "acc,exam_id__USP_2021": 0.21153846153846154, | |
| "acc,exam_id__USP_2023": 0.25, | |
| "acc,exam_id__USP_2024": 0.2682926829268293, | |
| "acc,exam_id__UNICAMP_2021_1": 0.2826086956521739, | |
| "acc,exam_id__UNICAMP_2022": 0.358974358974359, | |
| "main_score": 0.3129346314325452 | |
| }, | |
| "harness|oab_exams|oab_exams|None|3": { | |
| "acc,all": 0.34943052391799545, | |
| "acc,exam_id__2014-13": 0.3125, | |
| "acc,exam_id__2012-07": 0.3, | |
| "acc,exam_id__2012-09": 0.24675324675324675, | |
| "acc,exam_id__2011-03": 0.2727272727272727, | |
| "acc,exam_id__2012-08": 0.4625, | |
| "acc,exam_id__2015-17": 0.3717948717948718, | |
| "acc,exam_id__2014-15": 0.47435897435897434, | |
| "acc,exam_id__2017-24": 0.2875, | |
| "acc,exam_id__2015-16": 0.325, | |
| "acc,exam_id__2017-23": 0.3625, | |
| "acc,exam_id__2011-04": 0.375, | |
| "acc,exam_id__2010-02": 0.27, | |
| "acc,exam_id__2016-19": 0.44871794871794873, | |
| "acc,exam_id__2012-06": 0.325, | |
| "acc,exam_id__2012-06a": 0.3125, | |
| "acc,exam_id__2013-12": 0.375, | |
| "acc,exam_id__2017-22": 0.375, | |
| "acc,exam_id__2010-01": 0.27058823529411763, | |
| "acc,exam_id__2013-10": 0.3625, | |
| "acc,exam_id__2014-14": 0.4125, | |
| "acc,exam_id__2018-25": 0.375, | |
| "acc,exam_id__2016-20a": 0.3, | |
| "acc,exam_id__2015-18": 0.375, | |
| "acc,exam_id__2011-05": 0.325, | |
| "acc,exam_id__2013-11": 0.4, | |
| "acc,exam_id__2016-20": 0.35, | |
| "acc,exam_id__2016-21": 0.4125, | |
| "main_score": 0.34943052391799545 | |
| }, | |
| "harness|assin2_rte|assin2_rte|None|15": { | |
| "f1_macro,all": 0.424025213670537, | |
| "acc,all": 0.5433006535947712, | |
| "main_score": 0.424025213670537 | |
| }, | |
| "harness|assin2_sts|assin2_sts|None|15": { | |
| "pearson,all": 0.09020044429155334, | |
| "mse,all": 2.506597222222222, | |
| "main_score": 0.09020044429155334 | |
| }, | |
| "harness|faquad_nli|faquad_nli|None|15": { | |
| "f1_macro,all": 0.45217350015431734, | |
| "acc,all": 0.7815384615384615, | |
| "main_score": 0.45217350015431734 | |
| }, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": { | |
| "f1_macro,all": 0.09057755761365816, | |
| "acc,all": 0.182, | |
| "main_score": 0.09057755761365816 | |
| }, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": { | |
| "f1_macro,all": 0.3932038834951456, | |
| "acc,all": 0.648, | |
| "main_score": 0.3932038834951456 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": { | |
| "f1_macro,all": 0.3780835276162379, | |
| "acc,all": 0.378, | |
| "main_score": 0.3780835276162379 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": { | |
| "f1_macro,all": 0.38900123633440115, | |
| "acc,all": 0.392, | |
| "main_score": 0.38900123633440115 | |
| } | |
| }, | |
| "config_tasks": { | |
| "harness|enem_challenge|enem_challenge": "LM Harness task", | |
| "harness|bluex|bluex": "LM Harness task", | |
| "harness|oab_exams|oab_exams": "LM Harness task", | |
| "harness|assin2_rte|assin2_rte": "LM Harness task", | |
| "harness|assin2_sts|assin2_sts": "LM Harness task", | |
| "harness|faquad_nli|faquad_nli": "LM Harness task", | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por": "LM Harness task", | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por": "LM Harness task", | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por": "LM Harness task", | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por": "LM Harness task" | |
| }, | |
| "versions": { | |
| "all": 0, | |
| "harness|enem_challenge|enem_challenge": 1.0, | |
| "harness|bluex|bluex": 1.0, | |
| "harness|oab_exams|oab_exams": 1.4, | |
| "harness|assin2_rte|assin2_rte": 1.0, | |
| "harness|assin2_sts|assin2_sts": 1.0, | |
| "harness|faquad_nli|faquad_nli": 1.0, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por": 1.0, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por": 1.0, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por": 1.0, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por": 1.0 | |
| }, | |
| "summary_tasks": { | |
| "harness|enem_challenge|enem_challenge|None|3": { | |
| "sample_size": 1429, | |
| "truncated": 0, | |
| "non_truncated": 1429, | |
| "padded": 0, | |
| "non_padded": 1429, | |
| "fewshots_truncated": 0, | |
| "mean_seq_length": 1532.9881035689293, | |
| "min_seq_length": 1280, | |
| "max_seq_length": 2572, | |
| "max_ctx_length": 4064, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 3.0, | |
| "mean_effective_fewshot_size": 3.0 | |
| }, | |
| "harness|bluex|bluex|None|3": { | |
| "sample_size": 719, | |
| "truncated": 0, | |
| "non_truncated": 719, | |
| "padded": 0, | |
| "non_padded": 719, | |
| "fewshots_truncated": 0, | |
| "mean_seq_length": 1364.7426981919332, | |
| "min_seq_length": 998, | |
| "max_seq_length": 2124, | |
| "max_ctx_length": 4064, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 3.0, | |
| "mean_effective_fewshot_size": 3.0 | |
| }, | |
| "harness|oab_exams|oab_exams|None|3": { | |
| "sample_size": 2195, | |
| "truncated": 0, | |
| "non_truncated": 2195, | |
| "padded": 0, | |
| "non_padded": 2195, | |
| "fewshots_truncated": 0, | |
| "mean_seq_length": 1306.4145785876992, | |
| "min_seq_length": 1051, | |
| "max_seq_length": 1788, | |
| "max_ctx_length": 4064, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 3.0, | |
| "mean_effective_fewshot_size": 3.0 | |
| }, | |
| "harness|assin2_rte|assin2_rte|None|15": { | |
| "sample_size": 2448, | |
| "truncated": 0, | |
| "non_truncated": 2448, | |
| "padded": 0, | |
| "non_padded": 2448, | |
| "fewshots_truncated": 0, | |
| "mean_seq_length": 1182.9889705882354, | |
| "min_seq_length": 1160, | |
| "max_seq_length": 1249, | |
| "max_ctx_length": 4064, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 15.0, | |
| "mean_effective_fewshot_size": 15.0 | |
| }, | |
| "harness|assin2_sts|assin2_sts|None|15": { | |
| "sample_size": 2448, | |
| "truncated": 0, | |
| "non_truncated": 2448, | |
| "padded": 0, | |
| "non_padded": 2448, | |
| "fewshots_truncated": 0, | |
| "mean_seq_length": 1415.9889705882354, | |
| "min_seq_length": 1393, | |
| "max_seq_length": 1482, | |
| "max_ctx_length": 4064, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 15.0, | |
| "mean_effective_fewshot_size": 15.0 | |
| }, | |
| "harness|faquad_nli|faquad_nli|None|15": { | |
| "sample_size": 650, | |
| "truncated": 0, | |
| "non_truncated": 650, | |
| "padded": 0, | |
| "non_padded": 650, | |
| "fewshots_truncated": 0, | |
| "mean_seq_length": 1473.1184615384616, | |
| "min_seq_length": 1421, | |
| "max_seq_length": 1580, | |
| "max_ctx_length": 4064, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 15.0, | |
| "mean_effective_fewshot_size": 15.0 | |
| }, | |
| "harness|sparrow_pt|sparrow_emotion-2021-cortiz-por|500|25": { | |
| "sample_size": 500, | |
| "truncated": 0, | |
| "non_truncated": 500, | |
| "padded": 0, | |
| "non_padded": 500, | |
| "fewshots_truncated": 0, | |
| "mean_seq_length": 1696.204, | |
| "min_seq_length": 1674, | |
| "max_seq_length": 1744, | |
| "max_ctx_length": 4064, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 25.0, | |
| "mean_effective_fewshot_size": 25.0 | |
| }, | |
| "harness|sparrow_pt|sparrow_hate-2019-fortuna-por|500|25": { | |
| "sample_size": 500, | |
| "truncated": 0, | |
| "non_truncated": 500, | |
| "padded": 0, | |
| "non_padded": 500, | |
| "fewshots_truncated": 0, | |
| "mean_seq_length": 1708.588, | |
| "min_seq_length": 1684, | |
| "max_seq_length": 1767, | |
| "max_ctx_length": 4064, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 25.0, | |
| "mean_effective_fewshot_size": 25.0 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2016-mozetic-por|500|25": { | |
| "sample_size": 500, | |
| "truncated": 0, | |
| "non_truncated": 500, | |
| "padded": 0, | |
| "non_padded": 500, | |
| "fewshots_truncated": 0, | |
| "mean_seq_length": 1422.44, | |
| "min_seq_length": 1405, | |
| "max_seq_length": 1458, | |
| "max_ctx_length": 4064, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 25.0, | |
| "mean_effective_fewshot_size": 25.0 | |
| }, | |
| "harness|sparrow_pt|sparrow_sentiment-2018-brum-por|500|25": { | |
| "sample_size": 500, | |
| "truncated": 0, | |
| "non_truncated": 500, | |
| "padded": 0, | |
| "non_padded": 500, | |
| "fewshots_truncated": 0, | |
| "mean_seq_length": 1573.854, | |
| "min_seq_length": 1556, | |
| "max_seq_length": 1605, | |
| "max_ctx_length": 4064, | |
| "max_gen_toks": 32, | |
| "mean_original_fewshots_size": 25.0, | |
| "mean_effective_fewshot_size": 25.0 | |
| } | |
| }, | |
| "summary_general": { | |
| "truncated": 0, | |
| "non_truncated": 11889, | |
| "padded": 0, | |
| "non_padded": 11889, | |
| "fewshots_truncated": 0 | |
| } | |
| } |